The effects of conservation agriculture on crop performance, soil quality and potential c emission reduction and c sequestration in contrasting environments in Mexico Bram Govaerts, Ken Sayre, Nele Verhulst, Luc Dendooven Agustin Limon-Ortega Leonardo Patiño-Zúñiga Conservation Agriculture Comprises three basic components Surface crop residue retention Minimal soil movement Crop rotation Conventional agriculture Sustainable agriculture Crop rotation Intensity of soil disturbance Conventional Adapted from Pereira Surface crop retention Minimum Tillage Direct seeding Conservation Agriculture is a complex technology: it involves a complete change in the agricultural system. CIMMYT in Mexico Mexicali 22 m Cd. Obregón 39 m Mexico City Toluca 2640 m El Batán* 2249 m Agua Fría 60 m Tlaltizapá n 940 m CIMMYT in Mexico Mexicali 22 m Cd. Obregón 39 m Mexico City Toluca 2640 m El Batán* 2249 m Agua Fría 60 m Tlaltizapá n 940 m Precipitation and pET (mm) Climate 200 150 100 50 0 Month 1 2 3 4 Precipitation (mm) 5 6 7 8 9 10 11 12 LGP pET (mm) pET/2 (mm) Soil Classification Rastra Ap Arado Ap0’ Cumulic Phaeozem A Fine, mixed, thermic Cumulic Haplustoll 2Bw 2C Characteristics Non-equatorial semi-arid subtropical highlands (2240 masl) DROUGHT Periodical drought Periodical water excess Wind and water erosion Rain fed agriculture Grain yield < 3 ton ha-1 EROSION Experimental Fields Treatments ZT CT K R MM MM MW MW WM WM WW WW P PB K R K P MM MM MW MW MW MW MW WM WM WM WM WM WW WW K = Keep residue on the field; R = Remove the residue ; P = Partial residue retention W = Wheat; M = Maize; B= Beans CIMMYT in Mexico Mexicali 22 m Cd. Obregón 39 m El Batán* 2249 m Mexico City Toluca 2640 m Agua Fría 60 m Tlaltizapá n 940 m Características del Valle del Yaqui 27.33oN; 109.09oW 38 m asl T(max) 26.7oC; T(min) 8.7oC Wheat growing season: November-May Maize – Sorghum: June - October Soil – Station Obregon, Sonora, México Suelo – Vertisol Calcareous Vertisols (mixed montmorillonitic typic Calciorthid) Low organic matter: 0.95 % (0-30 cm) Slightly alkaline: PH (CaCl2) = 7.7 E.C. 0.8-1.9 dS m-1 (30-90 cm: 4.15 dS m-1) % Clay Lime Sand 0-30 43 24 33 30-60 48 25 27 Results: Yield Towards a high and stable yielding system ? CIMMYT in Mexico Mexicali 22 m Cd. Obregón 39 m Mexico City Toluca 2640 m El Batán* 2249 m Agua Fría 60 m Tlaltizapá n 940 m Govaerts et al., 2005 Govaerts et al., 2005 Zero vs. Conventional Govaerts et al., 2005 ZT CT ZT CT Yield results 1997-2005 Zero-tillage Conventional tillage Maize Wheat Maize Wheat Monoculture + residue 4.3 5.3 3.5 4.9 Monoculture residue 2.2 4.4 3.4 4.3 Rotation + residue 5.1 5.4 4.2 4.9 Rotation - residue 4.0 3.4 3.8 4.4 Govaerts et al., 2005 Yield Stability 1.2 1.2 1.0 1 MM, ZT, K 0.8 MM, ZT, R 0.6 WM, ZT, K 0.4 WM, ZT, R 0.2 0.0 1990 WW, ZT, R 0.6 MW, ZT, K 0.4 MW, ZT, R 0.2 1995 2000 0 1990 2005 1995 2000 2005 1.2 1.2 1 1.0 MM, CT, K 0.8 MM, CT, R 0.6 WW, CT, K WW, CT, R 0.8 0.6 MW, CT, K WM, CT, K 0.4 WM, CT, R 0.2 0.0 1990 WW, ZT, K 0.8 0.4 MW, CT, R 0.2 1995 2000 2005 ZT = zero tillage, CT = conventional tillage K = keep residue; R = remove residue W = wheat; M = maize 0 1990 1995 2000 2005 Govaerts et al., 2005 CIMMYT in Mexico Mexicali 22 m Cd. Obregón 39 m El Batán* 2249 m Mexico City Toluca 2640 m Agua Fría 60 m Tlaltizapá n 940 m Sayre et al., 2006 LSD for Rendimiento (0.05) = 563 kg/ha 7,500 7,500 7,190 6,950 7,000 6,500 8,000 6,356 7,000 6,500 6,225 6,000 6,000 5,500 5,500 4,985 5,000 5,000 4,500 4,500 3,978 4,000 4,000 3,500 3,500 3,000 3,000 Rendimiento de grano (kg/ha) Camas convencionales Camas permanentes Costos de producción (MXN) Ingresos (despues costos) (MXN/ha) Mexican pesos Rendimiento de grano (kg/ha at 12% H2O) 8,000 Soil quality, not just a word but a conceptual framework Soil quality Variety of definitions Doran and Parkin (1994) “it is the capacity of a soil to be functional, within the limits imposed by the ecosystem and land use, to preserve the biological productivity and environmental quality, and promote plant, animal and human health” Larson and Pierce (1994) “fitness for use” Selection Soil Parameters Limiting factor set: comparison of optimal conditions for land use and field conditions Ideal conditions for land use versus real conditions Measuring possible critical indicators linked with the limiting factors Multivariate analysis => most explicative indicators = minimum dataset (M)ANOVA Indicators influenced by • Residue • Tillage Chemical parameters 0-5 Chemical parameters 5-20 %C %N K Mn Zn %C Na Mn Biological parameters are weak! Physical parameters Time-to-pond without plants Time-to-pond with plants % Macro aggregates Permanent Wilting Point Cone Penetration Mean Weight Diameter Probe Depth Selected Parameters Group Chemical 0-5 Chemical 5-20 Indicator CEC %C %N pH P Ca Mg K Na Fe Mn Zn Cu Ec NH4+ NO3- CEC %C %N pH P Ca Mg K Na Fe Mn Zn Cu Ec NH4+ NO3- Physical Biological Small Ring Infiltration BTWC Small Ring Infiltration IC Time-to-pond without plants Time-to-pond with plants % Macro aggregates % Meso aggregates % Micro aggregates Field capacity (0-5) Field capacity (5-20) Permanent Wilting Point (0-5) Permanent Wilting Point (5-20) Bulk density Mean weight diameter Cone penetration Probe depth PEN-7 PEN-17 PEN-27 MBB C MBB N PCA Soil physical properties 3 4 PC Top Soil Resistance 2 8 3 CP 1 7 2 %MA 14 0 6 -1 ZT, R ZT, K CT, R CT, K Loadings 13 1 5 16 12 15 PWP TTPP 10 MWD TTPWP PR 11 9 -2 -3 -3 -2 -1 0 PC Soil Structure Govaerts et al., 2006 1 2 3 PCA Soil chemical properties 3 4 8 2 Mn PC 0-5 Mn 1 7 14 2 0 11 12 6 16 -1 10 Zn %N %C 5 15 9 K 1 0 1 ZT, R ZT, K 3 13 CT, R CT, K Loadings -2 -3 -3 -2 -1 PC 0-5 Nutrient Status Govaerts et al., 2006 2 3 Aggregate stability Total Soil Wet sieving Macroaggregates (M) (>250 μm) Microaggregates (m) (53-250 μm) Silt + Clay (<53μm) Microaggregate isolator Coarse POM-C + sand (CPOM mM) (>250 μm) Micros within Macros (mM) Silt and clay (s+c mM) (>53 μm) (53-250 μm) Density floatation + dispersion Inter-mMPOM-C Intra-mMPOM-C (53-250 μm) (53-250 μm) 50 A a 45 AB 40 B 35 b 30 25 20 15 A a 10 5 AB B b 0 CTB + Res PB + Res Larga Macro-aggregates Lichter et al., 2008 PB + Part PB - Res Small Macro-Aggregates ————————————————————————————————————————— cPOM a ——————— Carbon Treatment Nitrogen Microaggregates within macroaggregates Silt and cay fraction of macroaggregates ——————— ———————— Carbon Nitrogen Carbon Nitrogen ————————————— (mg kg-1) —————————— Tillage b PB K 18.56 A 1.97 A 19.35 A 2.10 A 13.82 A 1.70 A CB I 8.56 B 1.05 B 15.25 B 1.75 B 11.87 A 1.49 A Residue management c PB K 18.56 A 1.87 A 19.35 A 2.09 A 13.82 A 1.70 A PB P 9.83 B 1.20 B 17.11 A 1.91 A 14.29 A 1.66 A PB R 8.61 B 1.29 B 16.05 A 1.86 A 14.19 A 1.72 A ————————————————————————————————————————— Lichter et al., 2008 CO2 flux CO2 flux (g CO2 m-² h-¹) 0.8 0.7 0.6 MW, CT, K 0.5 MW, ZT, K 0.4 WM, CT, K 0.3 WM, ZT, K 0.2 0.1 0 1 Residues Management Tillage Patiño-Zúñiga et al., 2008 CIMMYT in Mexico Mexicali 22 m Cd. Obregón 39 m El Batán* 2249 m Mexico City Toluca 2640 m Agua Fría 60 m Tlaltizapá n 940 m Tillage/Residue Management % Organic Matter Conventional Till Beds Incorporated Residue 1.23 Permanent Beds Burn Residue 1.32 Permanent Beds Partial Removal Residue Na Aggregate Aggregate Ppm Distribution Stability MWD MWD SMB C 564 mg kg SMB N mg kg soil-1 1.32 1.262 464 4.88 600 0.97 1.12 465 4.46 1.31 474 1.05 1.41 588 6.92 Permanent Beds Retain Residue 1.43 448 1.24 1.96 600 9.06 Mean 1.32 513 1.15 1.434 552 6.40 LSD (P=0.05) 0.15 53 0.22 0.33 133 1.60 soil-1 Implementation of conservation agriculture through a network of hubs The hub concept benchmark sites for research on the impacts of CA focal point for regional (agro-ecological) capacitybuilding and scaling out of research and innovation systems regional CA networks are established to facilitate and foment research and extension of CA innovation systems and technologies example of the functionality of CA systems structure to work together with partners including farmers to test various best-bet technology options with farmers to integrate these options to improve farm level economics and family well-being to provide a demonstration platform to extend these technologies to surrounding farmers to provide a training/demonstration platform to bring together all actors from other areas with similar production systems and conditions to provide a platform to do relevant research Strategic research feeding into the international network of hubs Literature review Govaerts et al., submitted West and Post (2002), Jarecki and Lal (2003), VandenBygaart et al. (2003), Blanco-Canqui and Lal (2008) + Literature search (Web of Science) Only >5y and minimum 30cm Very little research in Africa, Central- LatinAmerica, Asia Literature review Conventional till Zero tillage 8/62 cases C stock decreased 21/62 cases C stock not significant different 33/62 case C stock increased Increased rotation 22/55 cases C stock decreased 5/55 cases C stock not significant different 28/55 cases C stock increased Conclusions Not always increase in C stock Why? Not clear Underlying processes seem not fully understood Need for an international network of hubs linked to strategic research sites Even if CA does not lead always to C stock increase it is still the best practice to promote Thanks b.govaerts@cgiar.org